Observational studyAmerican journal of epidemiology2018
Associations of Biomarker-Calibrated Intake of Total Sugars With the Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study.
Observational study in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Trial
- Total Sugars Misreporting in Self-Reported 24-Hour Recalls in the Study of Latinos: Nutrition and Physical Activity Assessment Study.The Journal of nutrition · 2026Article
- Twenty-Four-Hour Urinary Sugars Biomarker in a Vending Machine Intake Paradigm in a Diverse Population.Nutrients · 2024Article
- The mediating role of obesity on the prospective association between urinary sucrose and diabetes incidence in a sub-cohort of the EPIC-Norfolk.Nutrition & diabetes · 2023Article
- Evaluating a Model of Added Sugar Intake Based on Amino Acid Carbon Isotope Ratios in a Controlled Feeding Study of U.S. Adults.Nutrients · 2022Article
- Current WHO recommendation to reduce free sugar intake from all sources to below 10% of daily energy intake for supporting overall health is not well supported by available evidence.The American journal of clinical nutrition · 2022Review
- Establishing 24-Hour Urinary Sucrose Plus Fructose as a Predictive Biomarker for Total Sugars Intake.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Tolerable upper intake level for dietary sugars.EFSA journal. European Food Safety Authority · 2022Article
- Investigating the performance of 24-h urinary sucrose and fructose as a biomarker of total sugars intake in US participants - a controlled feeding study.The American journal of clinical nutrition · 2021Article
- Article
- Glycemic index, glycemic load, and risk of coronary heart disease: a pan-European cohort study.The American journal of clinical nutrition · 2020Article
- Association of free sugar intake with blood pressure and obesity measures in Australian adults.European journal of nutrition · 2020Article
- Traditional Self-Reported Dietary Instruments Are Prone to Inaccuracies and New Approaches Are Needed.Frontiers in nutrition · 2020Review
- The complex relationship between diet, quality of life and life expectancy: a narrative review of potential determinants based on data from Italy.Eating and weight disorders : EWD · 2019Review
Corrections and comments
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Authors and funding
15 authors at 11 institutions in 1 country.
Funding
Abstract
The inconsistent findings from epidemiologic studies relating total sugars (TS) consumption to cardiovascular disease (CVD) or type 2 diabetes (T2D) risk may be partly due to measurement error in self-reported intake. Using regression calibration equations developed based on the predictive biomarker for TS and recovery biomarker for energy, we examined the association of TS with T2D and CVD risk, before and after dietary calibration, in 82,254 postmenopausal women participating in the Women's Health Initiative Observational Study. After up to 16 years of follow-up (1993-2010), 6,621 T2D and 5,802 CVD incident cases were identified. The hazard ratio for T2D per 20% increase in calibrated TS was 0.94 (95% confidence interval (CI): 0.77, 1.15) in multivariable energy substitution, and 1.00 (95% CI: 0.85, 1.18) in energy partition models. Multivariable hazard ratios for total CVD were 0.97 (95% CI: 0.87, 1.09) from energy substitution, and 0.91 (95% CI: 0.80, 1.04) from energy partition models. Uncalibrated TS generated a statistically significant inverse association with T2D and total CVD risk in multivariable energy substitution and energy partition models. The lack of conclusive findings from our calibrated analyses may be due to the low explanatory power of the calibration equations for TS, which could have led to incomplete deattenuation of the risk estimates.
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Registered trials
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